A layout approach partitions a plot into a matrix of panels. Each panel shows a different subset of the data.
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/canvasXpress.min.js"></script>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"</canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
<!-- Create the data for the graph -->
var data = {
"x" : {
"Factor1" : ["Lev : 1","Lev : 2","Lev : 3","Lev : 1","Lev : 2","Lev : 3"],
"Factor2" : ["Lev : A","Lev : B","Lev : A","Lev : B","Lev : A","Lev : B"],
"Factor3" : ["Lev : X","Lev : X","Lev : Y","Lev : Y","Lev : Z","Lev : Z"],
"Factor4" : [5,10,15,20,25,30],
"Factor5" : [8,16,24,32,40,48],
"Factor6" : [10,20,30,40,50,60]
},
"y" : {
"data" : [
[5,10,25,40,45,50],
[95,80,75,70,55,40],
[25,30,45,60,65,70],
[55,40,35,30,15,1]
],
"desc" : ["Magnitude1","Magnitude2"],
"smps" : ["S1","S2","S3","S4","S5","S6"],
"vars" : ["V1","V2","V3","V4"]
},
"z" : {
"Annt1" : ["Desc : 1","Desc : 2","Desc : 3","Desc : 4"],
"Annt2" : ["Desc : A","Desc : B","Desc : A","Desc : B"],
"Annt3" : ["Desc : X","Desc : X","Desc : Y","Desc : Y"],
"Annt4" : [5,10,15,20],
"Annt5" : [8,16,24,32],
"Annt6" : [10,20,30,40]
}
}
<-- Create the configuration for the graph -->
var config = {
"graphOrientation":"vertical",
"graphType":"Bar",
"showTransition":"false",
"theme":"CanvasXpress"
}
<!-- Call the CanvasXpress function to create the graph -->
var cX = new CanvasXpress("canvasId", data, config);
<-- Functions after rendering graph -->
cX.groupSamples(["Factor1"]);
cX.segregateSamples(["Factor1"]);
</script>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
showTransition=FALSE,
theme="CanvasXpress",
afterRender=list(list("groupSamples", list("Factor1")), list("segregateSamples", list("Factor1")))
)
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